期刊文献+

ASSESSING HISTORICAL RELIABILITY OF THE AGENT-BASED MODEL OF THE GLOBAL ENERGY SYSTEM

ASSESSING HISTORICAL RELIABILITY OF THE AGENT-BASED MODEL OF THE GLOBAL ENERGY SYSTEM
原文传递
导出
摘要 This study looks at the historical reliability of the agent-based model of the global energy system. We present a mathematical framework for the agent-based model calibration and sensitivity analysis based on historical observations. Simulation consistency with the historical record is measured as a distance between two vectors of data points and inference on parameter values is done from the probability distribution of this stochastic estimate. Proposed methodology is applied to the model of the global energy system. Some model properties and limitations followed from calibration results are discussed. This study looks at the historical reliability of the agent-based model of the global energy system. We present a mathematical framework for the agent-based model calibration and sensitivity analysis based on historical observations. Simulation consistency with the historical record is measured as a distance between two vectors of data points and inference on parameter values is done from the probability distribution of this stochastic estimate. Proposed methodology is applied to the model of the global energy system. Some model properties and limitations followed from calibration results are discussed.
出处 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2016年第3期326-350,共25页 系统科学与系统工程学报(英文版)
关键词 Agent-based modeling CALIBRATION energy system Agent-based modeling, calibration, energy system
  • 相关文献

参考文献36

  • 1Antonini, G., Bierlaire, M. & Weber M. (2006). Discrete choice models of pedestrian walking behavior. Transportation Research, Part B: Methodological, 40 (8): 667-687.
  • 2Axelrod, R. (1997). The dissemination of culture a mode/with local convergence and global polarization. Journal of Conflict Resolution, 41 (2): 203-226.
  • 3Ayres, R. & Kneese, A. (1969). Production, consumption, and externalities. TheAmerican Economic Review, 59 (3): 282-297.
  • 4Balci, O. (1994). Validation, verification and testing techniques throughtout the life cycle of a simulation study. In: Tew, J., Manivannan, S., Sadowski, D. & Seila, A. (eds.), Winter Simulation Conference: 215-220, Orlando, December 11-14, 1994, IEEE, Piscatway, NJ.
  • 5Barreteau, O. (2003). Our companion modelling approach. Joumal of Artifical Societies and Social Simulation, 6 (1).Available via http://j asss.soc.surrey.ac.uk/6/2/1.html. Cited October 29, 2015.
  • 6Beyrer, C., Baral, S., van Griensven, F., Goodreau, S., Chariyalertsak, S., Wirtz, A. & Brookmeyer, R. (2012). Global epidemiology of HIV infection in men who have sex with men. Lancet, 380 (9839): 367-377.
  • 7Bonabeau, E. (2002). Adaptive agents, intelligence, and emergent human organization: capturing complexity through agent-based modeling: methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences of the United States of America, 99: 7280-7287.
  • 8Bowles, S., Choi, J. & Hopfensitz, A. (2003). The co-evolution of individual behaviors and social institutions. Journal of Theoretical Biology, 223 (2): 135-147.
  • 9Bunn, D. & Oliveira, F. (2001). Agent-based simulation - An application to the new electricity trading arrangements of England and Wales. IEEE Transactions on Evolutionary Computation, 5 (5): 493-503.
  • 10Choi, J. & Bowles, S. (2007). The coevolution of parochial altruism and war. Science, 318 (5850): 636-640.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部